This paper is in the following e-collection/theme issue:

Theme issue 2019: 20th Anniversary Issue (30) Health Information Governance (21)

Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16399, first published .
Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

Authors of this article:

Scott Barnett1 Author Orcid Image ;   Kit Huckvale2 Author Orcid Image ;   Helen Christensen2, 3 Author Orcid Image ;   Svetha Venkatesh1 Author Orcid Image ;   Kon Mouzakis2 Author Orcid Image ;   Rajesh Vasa1 Author Orcid Image
Article Authors Cited by (15) Tweetations (7) Metrics

Scott Barnett   1 * , BEng, BSc, PhD ;   Kit Huckvale   2 * , BSc, MBChB, MSc, PhD ;   Helen Christensen   2, 3 , BA, MPsychol, PhD ;   Svetha Venkatesh   1 , BTech, MTech, PhD ;   Kon Mouzakis   2 , BSc, MSc ;   Rajesh Vasa   1 , PhD

1 Applied Artificial Intelligence Institute (A2I2), Deakin University, Geelong, Australia

2 Black Dog Institute, UNSW Sydney, Randwick, Australia

3 Mindgardens Neuroscience Network, Sydney, Australia

*these authors contributed equally

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